"A Step-By-Step Approach to Using SAS for Univariate and Multivariate Statistics" by Norm O'Rourke is an excellent resource for SAS users who want to expand their knowledge of statistics. This comprehensive guide is designed to cater to both beginners and experienced users, thanks to its logical and easy-to-follow structure.
The author starts by providing a solid foundation in SAS programming, ensuring that readers have a good understanding of the basics before progressing to more complex statistical techniques. From there, O'Rourke covers a wide range of topics, including descriptive statistics, hypothesis testing, correlation analysis, regression analysis, logistic regression, factor analysis, and cluster analysis.
What sets this book apart is its emphasis on hands-on practice. O'Rourke includes numerous exercises and case studies throughout the book, allowing readers to apply the concepts they've learned. This interactive approach helps reinforce understanding and build confidence in using SAS for statistical analysis.
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The book is well-organized and highly readable, with clear examples and screenshots to facilitate understanding. O'Rourke's writing style is clear and concise, making even complex statistical concepts easy to grasp. In addition, the inclusion of tips and tricks enhances the learning experience, providing practical insights beyond the basic concepts.
Overall, "A Step-By-Step Approach to Using SAS for Univariate and Multivariate Statistics" is a highly recommended resource for anyone looking to learn or enhance their skills in statistical analysis using SAS. Norm O'Rourke's expertise and the practical approach taken in this book make it a valuable tool for both students and professionals in the field. Whether you're a beginner or an experienced user, this comprehensive guide will surely improve your understanding and proficiency in statistical analysis using SAS.
What are readers saying?
Norm O'Rourke's book, "A Step-By-Step Approach to Using SAS for Univariate and Multivariate Statistics," has garnered positive reviews from readers. The book is lauded for its clear and comprehensive explanations, making it a valuable resource for both beginners and experienced SAS users.
Reviewers praised O'Rourke's step-by-step approach, finding it immensely helpful in learning SAS. The book's logical structure guides readers through different statistical concepts, providing clear examples and explanations. Readers appreciate the author's attention to detail, as he breaks down complex statistical techniques into easily understandable steps.
Another aspect that received high praise is the book's relevance to real-life scenarios. O'Rourke provides numerous examples and case studies that demonstrate how to apply SAS techniques in practical situations. This practical approach helps readers connect theoretical knowledge with real-world applications.
The book's inclusion of both univariate and multivariate statistics is also highly appreciated. Reviewers value the comprehensive coverage of both topics, allowing for a deeper understanding of statistical analysis in SAS. Moreover, the book provides information on interpreting and reporting findings, proving to be valuable for professionals.
Readers commend O'Rourke's clarity in writing style. The author employs simple language and avoids jargon, making the content accessible to a wide range of readers. This ease of understanding is particularly appreciated by beginners who find the book easy to follow.
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